Opposition Theory Enabled Intelligent Whale Optimization Algorithm

Jain, Prateek; Jain, Pooja; Saxena, Akash

doi:10.1007/978-981-15-0214-9_52

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…The WOA is exhibits higher accuracy than many meta-heuristic techniques but to further improve convergence rates and other capabilities for many complex issues; it needs some improvements. Therefore, a newly developed algorithm i.e., OIWOA [24] is considered in the proposed test model to improve controller parameters.…”

Section: Opposition Theory Enabled Whale Optimization Algorithm (Oiwoa)mentioning

confidence: 99%

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Whale Optimization Based Automatic Generation Control for Two Area Interconnected Thermal Power System

Jain¹,

Jain²

2020

SKIT Research Journal

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This article presents automatic generation control (AGC) of an interconnected two area thermal system. A maiden attempt is made to apply a Proportional Integral (PI) controller in AGC using two objective functions. Controller gains are optimized using Whale optimization algorithm (WOA) and Opposition theory enabled whale optimization algorithm (OIWOA) techniques. The results of the proposed model is compared with GSA, PSO, and GA techniques. Results revealed that the OIWOA optimized PI controller shows effective and improved results over WOA, GSA, PSO, and GA techniques.

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Section: Opposition Theory Enabled Whale Optimization Algorithm (Oiwoa)mentioning

confidence: 99%

“…This also motivated us to use a new variant of WOA for AGC. The newly developed variant of WOA used here is Opposition theory enabled whale optimization algorithm (OIWOA) [24]. This paper aims to implement the OIWOA and WOA for the optimization of control parameters for AGC of two areas interconnected power system.…”

Section: Introductionmentioning

confidence: 99%

Whale Optimization Based Automatic Generation Control for Two Area Interconnected Thermal Power System

Jain¹,

Jain²

2020

SKIT Research Journal

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A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems

Goldanloo

Gharehchopogh

2021

J Supercomput

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Comparative Analysis of Different Optimization Algorithms on Transmission Expansion Planning Problem

Jangid¹,

Mehta²,

Saxena³

et al. 2021

SKIT Research Journal

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Transmission expansion planning problem is a crit¬ical issue in power system due to competitive business environ¬ment and escalating power demand. Power system is expanding with every passing day from both generation and distribution side. However, for matching the demand, expansion plan of transmission network has been addressed in previous researches. This paper presents comparative analysis of recently published application of swarm algorithms for carrying out the expansion plan of a power network. These algorithms are namely Crow Search Algorithm (CSA), Moth Flame Optimization Algorithm (MFO), Artificial Bee colony Algorithm (ABC), Teaching Learn¬ing Based Optimization Algorithm (TLBO), Grey Wolf Algorithm (GWO) and Whale Optimization Algorithm (WOA). These algorithms are tested on two different power networks and a decisive evaluation of the optimization performance of algorithms are carried out. It has been observed that performance of CSA is found superior to other algorithms.

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Opposition Theory Enabled Intelligent Whale Optimization Algorithm

Cited by 3 publications

References 20 publications

Whale Optimization Based Automatic Generation Control for Two Area Interconnected Thermal Power System

Whale Optimization Based Automatic Generation Control for Two Area Interconnected Thermal Power System

A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems

Comparative Analysis of Different Optimization Algorithms on Transmission Expansion Planning Problem

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